Cover Image

Real Time Scheduling Framework for Multi Object Detection via Spiking Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kang, Donghwa, Shin, Woojin, Hong, Cheol-Ho, Koo, Minsuk, Kang, Brent ByungHoon, Lee, Jinkyu, Baek, Hyeongboo
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Computer Vision and Pattern Recognition Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Timestep-Compressed Attack on Spiking Neural Networks through Timestep-Level Backpropagation
by: Kang, Donghwa, et al.
Published: (2025)

STAS: Spatio-Temporal Adaptive Computation Time for Spiking Transformers
by: Kang, Donghwa, et al.
Published: (2025)

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection
by: Shin, Woojin, et al.
Published: (2025)

CR-QAT: Curriculum Relational Quantization-Aware Training for Open-Vocabulary Object Detection
by: Park, Jinyeong, et al.
Published: (2026)

Fractional-order Spiking Neural Network
by: Ge, Chengjie, et al.
Published: (2025)

Mapping and Scheduling Spiking Neural Networks On Segmented Ladder Bus Architectures
by: Huynh, Phu Khanh, et al.
Published: (2025)

BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation
by: Xu, Zekai, et al.
Published: (2024)

Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch
by: Che, Kaiwei, et al.
Published: (2024)

BankTweak: Adversarial Attack against Multi-Object Trackers by Manipulating Feature Banks
by: Shin, Woojin, et al.
Published: (2024)

Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks for Efficient Eye-based Emotion Recognition
by: Liu, Qianhui, et al.
Published: (2025)

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
by: Lv, Changze, et al.
Published: (2024)

Stochastic Spiking Neural Networks with First-to-Spike Coding
by: Jiang, Yi, et al.
Published: (2024)

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
by: Li, Yang, et al.
Published: (2024)

Expressivity of Spiking Neural Networks
by: Singh, Manjot, et al.
Published: (2023)

Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains
by: Aguettaz, Hugo, et al.
Published: (2024)

Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks
by: Hua, Yuan, et al.
Published: (2025)

Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
by: Chakraborty, Biswadeep, et al.
Published: (2024)

SpikePipe: Accelerated Training of Spiking Neural Networks via Inter-Layer Pipelining and Multiprocessor Scheduling
by: Sanjeet, Sai, et al.
Published: (2024)

Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks
by: Pes, Lorenzo, et al.
Published: (2024)

Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation
by: Feng, Linghao, et al.
Published: (2024)

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification
by: Mishra, Abhishek, et al.
Published: (2024)

Robust Stable Spiking Neural Networks
by: Ding, Jianhao, et al.
Published: (2024)

Parallel Training in Spiking Neural Networks
by: Huang, Yanbin, et al.
Published: (2026)

Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
by: Nguyen, Duc Anh, et al.
Published: (2025)

Hybrid Temporal-8-Bit Spike Coding for Spiking Neural Network Surrogate Training
by: Nhan, Luu Trong, et al.
Published: (2025)

$SpikePack$: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility
by: Shen, Guobin, et al.
Published: (2025)

Curriculum Design Helps Spiking Neural Networks to Classify Time Series
by: Sun, Chenxi, et al.
Published: (2023)

Spatial-Temporal Search for Spiking Neural Networks
by: Che, Kaiwei, et al.
Published: (2024)

Evolutionary Spiking Neural Networks: A Survey
by: Shen, Shuaijie, et al.
Published: (2024)

Direct-to-Event Spiking Neural Network Transfer
by: Luu, Nhan Trong, et al.
Published: (2026)

Convolutional Spiking Neural Network for Image Classification
by: Kiselev, Mikhail, et al.
Published: (2025)

Inferno: An Extensible Framework for Spiking Neural Networks
by: Dominijanni, Marissa
Published: (2024)

Bayesian Inference Accelerator for Spiking Neural Networks
by: Katti, Prabodh, et al.
Published: (2024)

PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks
by: Huang, Yulong, et al.
Published: (2024)

Unsupervised Sparse Coding-based Spiking Neural Network for Real-time Spike Sorting
by: Melot, Alexis, et al.
Published: (2025)

Spatio-Temporal Decoupled Learning for Spiking Neural Networks
by: Ma, Chenxiang, et al.
Published: (2025)

Sustainable AI: Mathematical Foundations of Spiking Neural Networks
by: Fono, Adalbert, et al.
Published: (2025)

Workload-Balanced Pruning for Sparse Spiking Neural Networks
by: Yin, Ruokai, et al.
Published: (2023)

Spiking Neural Network Phase Encoding for Cognitive Computing
by: Zhang, Lei
Published: (2024)

A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
by: Chen, Xinyi, et al.
Published: (2023)